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diverse backgrounds Strong organisational, administrative and computer skills, with excellent attention to detail Sound problem-solving skills, the ability to manage competing priorities, and experience
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cloud and AI platforms across Azure and AWS, creating scalable environments that support enterprise data, analytics, machine learning, and generative AI solutions. You will automate infrastructure using
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directly to proof-of-concept AI and machine-learning solutions, establish robust evaluation frameworks, and lead a small specialist team to deliver measurable value at scale. Mōu | Who You Are Alongside your
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, including, but not limited to, artificial intelligence, machine learning, and chemoinformatics. Candidates will be considered on their merits, with the primary selection criteria detailed below. Preference
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solutions that generate real-world value. Key Responsibilities Build, validate, and deploy statistical and machine learning models (e.g., regression, NLP, clustering). Evaluate and implement emerging AI
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experience managing high-volume enquiries, appointments and competing priorities while delivering exceptional customer service. Strong computer literacy across Microsoft Office and business systems, with
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practice A postgraduate diploma or master’s degree A commitment to high quality clinical learning and teaching Flexibility and proven experience as an excellent team player Competence in computer skills
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systems, power electronics, wireless communications, RF engineering, embedded systems, signal processing, machine learning, image processing, microfluidics, electronic nanomaterials, or related fields
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Department of Electrical and Computer Engineering | Te Tari Pūhanga Hangarau Located in Christchurch | Ōtautahi, New Zealand | Aotearoa Part-time 30 hours per week (0.8 FTE) Continuing (permanent
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programme, delivered jointly with the Department of Electrical and Computer Engineering, and across the wider Faculty of Engineering. Mechatronics at UC is inherently interdisciplinary, and the appointee will